R Notebook
library(data.table)
library(sandwich)
library(lmtest)
library(AER)
library(dplyr)
library(ggplot2)
library(patchwork)#Read in the data
d <- fread('joined_results_2nd_run.tsv')
head(d)names(d) [1] "V1" "id" "question" "sexual_orientation" "age" "marital_status" "demographic_race" "gender" "ethnicity" "residency_type" "education" "RE_job"
[13] "ownership" "treatment" "property_chosen" "abs_value_diff" "value_diff" "p_id" "Index" "question_treatment" "question_control" "population_density" "walk_score" "median_household_income"
[25] "median_age" "nb_race" "median_rooms_rounded" "bedrooms" "bathrooms" "sq_ft" "year_built" "housing_density" "median_male_age" "pct_white" "school_districts" "pct_lt_hs_grad"
[37] "median_rooms" "pct_hs_grad" "pct_at_least_col_grad" "GEOID" "state" "tract" "NAME" "ALAND" "ALAND_SQMI" "county" "Pair_ID" "INTPTLAT"
[49] "INTPTLONG" "iframe" "Racial majority detail" #Filter to where user input property == potential response Property
d_filtered = d
d_filtered#For every row, create a column that is the value difference of white to non white
#i.e. If race==white of response, abs_value_diff, else use -abs_value_diff
#Using data.table fifelse
d_filtered[abs_value_diff==0,abs_value_diff := 0.5]
d_filtered[ , white_value_diff := fifelse(nb_race=="white", abs_value_diff, -abs_value_diff)]
d_filtered[ ,log_abs_diff := log(abs_value_diff)]
d_filtered[, log_white_diff := fifelse(nb_race=="white", log_abs_diff, -log_abs_diff)]
#Create a column with 0/1 if neighborhood is white
d_filtered[ , nb_is_white := fifelse(nb_race=="white", 1, 0)]
#Create a variable for whether street view contained a person
d_filtered[ , street_view_person := rep(0, .N)]
#Change Property 1 & 3s to 1
d_filtered[ (property_chosen == "Property 1") & (question == "3s") , street_view_person := 1]
#Change both Properties of 10s to 1
d_filtered[ (question == "10s") , street_view_person := 1]
#Change property 2 of 11s to 1
d_filtered[ (property_chosen == "Property 2") &(question == "11s") , street_view_person := 1]
#Change property 1 of 13s to 1
d_filtered[ (property_chosen == "Property 1") &(question == "13s") , street_view_person := 1]
#Change property 2 of 14s to 1
d_filtered[ (property_chosen == "Property 2") &(question == "14s") , street_view_person := 1]
#Change property 1&2 of 18s to 1
d_filtered[ (question == "18s") , street_view_person := 1]
#Change property 1 of 20s to 1
d_filtered[ (property_chosen == "Property 1") &(question == "20s") , street_view_person := 1]
#Change property 1 of 25s to 1
d_filtered[ (property_chosen == "Property 1") &(question == "25s") , street_view_person := 1]
d_filteredggplot(data =d_filtered[ treatment==0, ], aes(d_filtered[ treatment==0, white_value_diff])) + geom_histogram()
ggplot(data =d_filtered[ treatment==1, ], aes(d_filtered[ treatment==1, white_value_diff])) + geom_histogram()
fwrite(d_filtered, "filtered_data_2.csv")df = data.table::fread("filtered_data_2.csv")
dfnames(df) [1] "V1" "id" "question" "sexual_orientation" "age" "marital_status" "demographic_race" "gender" "ethnicity" "residency_type" "education" "RE_job"
[13] "ownership" "treatment" "property_chosen" "abs_value_diff" "value_diff" "p_id" "Index" "question_treatment" "question_control" "population_density" "walk_score" "median_household_income"
[25] "median_age" "nb_race" "median_rooms_rounded" "bedrooms" "bathrooms" "sq_ft" "year_built" "housing_density" "median_male_age" "pct_white" "school_districts" "pct_lt_hs_grad"
[37] "median_rooms" "pct_hs_grad" "pct_at_least_col_grad" "GEOID" "state" "tract" "NAME" "ALAND" "ALAND_SQMI" "county" "Pair_ID" "INTPTLAT"
[49] "INTPTLONG" "iframe" "Racial majority detail" "white_value_diff" "log_abs_diff" "log_white_diff" "nb_is_white" "street_view_person" typeof(df)[1] "list"#Some attempts at writing a model
#For each question, we want the difference in counts of properties selected by is_white
new_df = df[ , .(count=.N), keyby=.(question, nb_is_white, treatment) ]
new_df
#We want to predict the difference of the counts of the is_white or not properties for each question
new_df[ , is_white_count:= diff(count, lag=1), keyby = .(question, treatment)]
new_df
model = new_df[ , lm(is_white_count ~ treatment)]
coeftest(model, vcov = vcovCL(model, cluster = new_df[ , question]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.0000 5.6427 0.3544 0.7248
treatment 8.5455 8.7030 0.9819 0.3318Proportion Models
prop_white_model = df[, lm(nb_is_white ~ treatment + as.factor(id))]
coeftest(prop_white_model, vcov = vcovCL(prop_white_model, cluster = df[ , as.factor(id)]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.3636e-01 3.4670e-15 1.8355e+14 < 2e-16 ***
treatment -1.8182e-01 1.7877e-14 -1.0171e+13 < 2e-16 ***
as.factor(id)73 1.8182e-01 1.7537e-14 1.0368e+13 < 2e-16 ***
as.factor(id)74 9.0909e-02 1.9288e-14 4.7133e+12 < 2e-16 ***
as.factor(id)77 -3.7013e-15 3.5724e-15 -1.0361e+00 0.30042
as.factor(id)78 -2.0553e-14 1.7908e-14 -1.1477e+00 0.25137
as.factor(id)79 2.2932e-15 3.5353e-15 6.4870e-01 0.51670
as.factor(id)80 -9.0909e-02 3.4749e-15 -2.6162e+13 < 2e-16 ***
as.factor(id)81 1.8182e-01 1.8440e-14 9.8598e+12 < 2e-16 ***
as.factor(id)82 2.7273e-01 1.7565e-14 1.5527e+13 < 2e-16 ***
as.factor(id)83 9.0909e-02 3.4827e-15 2.6103e+13 < 2e-16 ***
as.factor(id)84 -1.8182e-01 3.4687e-15 -5.2417e+13 < 2e-16 ***
as.factor(id)85 -5.3879e-15 3.4917e-15 -1.5430e+00 0.12315
as.factor(id)86 -9.0909e-02 3.4717e-15 -2.6185e+13 < 2e-16 ***
as.factor(id)87 9.0909e-02 1.7992e-14 5.0527e+12 < 2e-16 ***
as.factor(id)88 1.8182e-01 1.7552e-14 1.0359e+13 < 2e-16 ***
as.factor(id)89 1.8182e-01 1.7552e-14 1.0359e+13 < 2e-16 ***
as.factor(id)90 1.8182e-01 3.4785e-15 5.2270e+13 < 2e-16 ***
as.factor(id)91 9.0909e-02 3.4670e-15 2.6221e+13 < 2e-16 ***
as.factor(id)92 2.7273e-01 1.7817e-14 1.5307e+13 < 2e-16 ***
as.factor(id)93 9.0909e-02 3.4817e-15 2.6111e+13 < 2e-16 ***
as.factor(id)94 2.7273e-01 1.7538e-14 1.5551e+13 < 2e-16 ***
as.factor(id)95 -2.7273e-01 3.6024e-15 -7.5706e+13 < 2e-16 ***
as.factor(id)96 9.0909e-02 3.4735e-15 2.6172e+13 < 2e-16 ***
as.factor(id)97 2.7273e-01 1.7548e-14 1.5541e+13 < 2e-16 ***
as.factor(id)98 -7.1342e-15 3.4690e-15 -2.0566e+00 0.03999 *
as.factor(id)99 9.0909e-02 1.7585e-14 5.1697e+12 < 2e-16 ***
as.factor(id)100 -9.0909e-02 3.4858e-15 -2.6080e+13 < 2e-16 ***
as.factor(id)101 -1.8182e-01 3.4694e-15 -5.2407e+13 < 2e-16 ***
as.factor(id)102 9.0909e-02 1.7604e-14 5.1641e+12 < 2e-16 ***
as.factor(id)103 -9.0909e-02 1.7538e-14 -5.1834e+12 < 2e-16 ***
as.factor(id)104 -1.8182e-01 3.4712e-15 -5.2379e+13 < 2e-16 ***
as.factor(id)105 -2.7273e-01 3.4683e-15 -7.8633e+13 < 2e-16 ***
as.factor(id)106 2.7273e-01 1.7839e-14 1.5289e+13 < 2e-16 ***
as.factor(id)107 -3.1819e-15 3.4673e-15 -9.1770e-01 0.35901
as.factor(id)108 -1.9819e-14 1.7628e-14 -1.1243e+00 0.26117
as.factor(id)109 -1.5312e-14 1.7576e-14 -8.7120e-01 0.38387
as.factor(id)110 1.8182e-01 1.7547e-14 1.0362e+13 < 2e-16 ***
as.factor(id)111 -9.0909e-02 3.4729e-15 -2.6177e+13 < 2e-16 ***
as.factor(id)112 2.7273e-01 1.7539e-14 1.5549e+13 < 2e-16 ***
as.factor(id)113 -5.4545e-01 3.5088e-15 -1.5545e+14 < 2e-16 ***
as.factor(id)114 9.0909e-02 3.5109e-15 2.5894e+13 < 2e-16 ***
as.factor(id)115 -9.0909e-02 3.4798e-15 -2.6125e+13 < 2e-16 ***
as.factor(id)116 -9.0909e-02 1.7656e-14 -5.1490e+12 < 2e-16 ***
as.factor(id)117 -3.6364e-01 3.5060e-15 -1.0372e+14 < 2e-16 ***
as.factor(id)118 2.7273e-01 1.7537e-14 1.5551e+13 < 2e-16 ***
as.factor(id)119 -3.6364e-01 3.4674e-15 -1.0487e+14 < 2e-16 ***
as.factor(id)120 2.7273e-01 1.7543e-14 1.5546e+13 < 2e-16 ***
as.factor(id)121 3.6364e-01 1.7626e-14 2.0630e+13 < 2e-16 ***
as.factor(id)122 -1.9711e-14 1.7537e-14 -1.1240e+00 0.26131
as.factor(id)123 9.0909e-02 3.4712e-15 2.6190e+13 < 2e-16 ***
as.factor(id)124 -9.0909e-02 1.7720e-14 -5.1302e+12 < 2e-16 ***
as.factor(id)125 -9.0909e-02 3.4807e-15 -2.6118e+13 < 2e-16 ***
as.factor(id)126 2.7273e-01 1.7572e-14 1.5521e+13 < 2e-16 ***
as.factor(id)127 4.5455e-01 1.7745e-14 2.5615e+13 < 2e-16 ***
as.factor(id)128 1.8182e-01 1.7555e-14 1.0357e+13 < 2e-16 ***
as.factor(id)129 -3.5892e-15 3.4683e-15 -1.0348e+00 0.30100
as.factor(id)130 3.6364e-01 1.7545e-14 2.0725e+13 < 2e-16 ***
as.factor(id)131 -9.0909e-02 3.4674e-15 -2.6218e+13 < 2e-16 ***
as.factor(id)132 9.0909e-02 1.7575e-14 5.1727e+12 < 2e-16 ***
as.factor(id)133 -1.8182e-01 3.4672e-15 -5.2440e+13 < 2e-16 ***
as.factor(id)134 -2.7430e-15 3.4674e-15 -7.9110e-01 0.42909
as.factor(id)135 1.8182e-01 1.7538e-14 1.0367e+13 < 2e-16 ***
as.factor(id)136 -1.8182e-01 3.4789e-15 -5.2263e+13 < 2e-16 ***
as.factor(id)137 9.0909e-02 1.7585e-14 5.1697e+12 < 2e-16 ***
as.factor(id)138 -3.6364e-01 3.4694e-15 -1.0481e+14 < 2e-16 ***
as.factor(id)139 -2.7273e-01 3.4673e-15 -7.8657e+13 < 2e-16 ***
as.factor(id)140 -1.5949e-14 1.7538e-14 -9.0940e-01 0.36336
as.factor(id)141 -2.7273e-01 3.4702e-15 -7.8591e+13 < 2e-16 ***
as.factor(id)142 1.8182e-01 1.7637e-14 1.0309e+13 < 2e-16 ***
as.factor(id)143 -9.0909e-02 3.4682e-15 -2.6212e+13 < 2e-16 ***
as.factor(id)144 -2.7273e-01 3.4723e-15 -7.8544e+13 < 2e-16 ***
as.factor(id)145 1.8182e-01 1.7628e-14 1.0314e+13 < 2e-16 ***
as.factor(id)146 1.8182e-01 1.7544e-14 1.0364e+13 < 2e-16 ***
as.factor(id)147 -3.6364e-01 3.4687e-15 -1.0483e+14 < 2e-16 ***
as.factor(id)148 -2.7273e-01 3.5215e-15 -7.7447e+13 < 2e-16 ***
as.factor(id)149 2.7273e-01 1.7546e-14 1.5544e+13 < 2e-16 ***
as.factor(id)150 1.8182e-01 1.7583e-14 1.0341e+13 < 2e-16 ***
as.factor(id)151 -4.3398e-15 3.4673e-15 -1.2516e+00 0.21100
as.factor(id)152 -2.7273e-01 3.4702e-15 -7.8591e+13 < 2e-16 ***
as.factor(id)153 -2.1136e-14 1.7541e-14 -1.2050e+00 0.22851
as.factor(id)154 -1.8182e-01 3.4681e-15 -5.2426e+13 < 2e-16 ***
as.factor(id)155 2.7273e-01 1.7673e-14 1.5431e+13 < 2e-16 ***
as.factor(id)156 -1.8182e-01 3.4672e-15 -5.2440e+13 < 2e-16 ***
as.factor(id)157 3.6364e-01 1.7539e-14 2.0733e+13 < 2e-16 ***
as.factor(id)158 -1.8394e-14 1.7571e-14 -1.0469e+00 0.29541
as.factor(id)159 -1.8182e-01 3.4764e-15 -5.2301e+13 < 2e-16 ***
as.factor(id)162 -3.3595e-15 3.4717e-15 -9.6770e-01 0.33345
as.factor(id)163 1.8182e-01 1.7542e-14 1.0365e+13 < 2e-16 ***
as.factor(id)164 1.8182e-01 1.7633e-14 1.0311e+13 < 2e-16 ***
as.factor(id)165 9.0909e-02 3.4707e-15 2.6193e+13 < 2e-16 ***
as.factor(id)166 -9.0909e-02 3.4677e-15 -2.6216e+13 < 2e-16 ***
as.factor(id)167 -9.0909e-02 1.7591e-14 -5.1680e+12 < 2e-16 ***
as.factor(id)168 1.8182e-01 1.7571e-14 1.0347e+13 < 2e-16 ***
as.factor(id)169 -1.8182e-01 3.4764e-15 -5.2301e+13 < 2e-16 ***
as.factor(id)171 9.0909e-02 3.4756e-15 2.6156e+13 < 2e-16 ***
as.factor(id)172 1.8182e-01 1.7572e-14 1.0347e+13 < 2e-16 ***
as.factor(id)174 -3.6364e-01 3.4764e-15 -1.0460e+14 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(prop_white_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model, cluster = df[ , as.factor(id)])))),out='prop_white_model_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-0.545<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>0.455<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.636<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.149)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.096</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.073 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>prop_white_model_no_id = df[, lm(nb_is_white ~ treatment)]
coeftest(prop_white_model_no_id, vcov = vcovCL(prop_white_model_no_id))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.520000 0.021323 24.3870 < 2.2e-16 ***
treatment 0.089848 0.030102 2.9848 0.002902 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(prop_white_model_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model_no_id, cluster = df[ , as.factor(id)])))),out='prop_white_model_no_id_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>0.090<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.030)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.520<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.021)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.008</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 1076)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>8.900<sup>***</sup> (df = 1; 1076)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>Value Difference models
value_model = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model, vcov = vcovCL(value_model, cluster = df[ , as.factor(id)]))
stargazer::stargazer(value_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model, cluster = df[ , as.factor(id)])))),out='value_model_table.html')value_model_log = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]NaNs producedcoeftest(value_model_log, vcov = vcovCL(value_model_log, cluster = df[ , as.factor(id)]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 9.5653e+00 3.4088e-15 2.8060e+15 < 2.2e-16 ***
treatment -7.2625e-01 8.4044e-15 -8.6413e+13 < 2.2e-16 ***
as.factor(id)73 1.5932e+00 7.6820e-15 2.0739e+14 < 2.2e-16 ***
as.factor(id)74 1.7861e+00 7.6822e-15 2.3249e+14 < 2.2e-16 ***
as.factor(id)77 3.8908e-01 3.4099e-15 1.1410e+14 < 2.2e-16 ***
as.factor(id)78 8.9996e-01 7.6935e-15 1.1698e+14 < 2.2e-16 ***
as.factor(id)79 3.0771e-01 3.4117e-15 9.0194e+13 < 2.2e-16 ***
as.factor(id)80 -4.0974e-01 3.4089e-15 -1.2020e+14 < 2.2e-16 ***
as.factor(id)81 1.3909e-01 7.6825e-15 1.8105e+13 < 2.2e-16 ***
as.factor(id)82 2.3577e+00 7.7238e-15 3.0525e+14 < 2.2e-16 ***
as.factor(id)83 -1.4880e+00 3.4146e-15 -4.3579e+14 < 2.2e-16 ***
as.factor(id)84 -2.2448e+00 3.4110e-15 -6.5812e+14 < 2.2e-16 ***
as.factor(id)85 -1.4500e+00 3.4092e-15 -4.2533e+14 < 2.2e-16 ***
as.factor(id)86 -6.5154e-01 3.4103e-15 -1.9105e+14 < 2.2e-16 ***
as.factor(id)87 2.6499e+00 7.6823e-15 3.4494e+14 < 2.2e-16 ***
as.factor(id)88 2.3970e+00 7.6820e-15 3.1203e+14 < 2.2e-16 ***
as.factor(id)89 1.3951e+00 7.6825e-15 1.8160e+14 < 2.2e-16 ***
as.factor(id)90 -1.1023e+00 3.4089e-15 -3.2335e+14 < 2.2e-16 ***
as.factor(id)91 -2.3470e+00 3.4094e-15 -6.8839e+14 < 2.2e-16 ***
as.factor(id)92 8.1971e-01 7.7142e-15 1.0626e+14 < 2.2e-16 ***
as.factor(id)93 -1.2762e+00 3.4116e-15 -3.7408e+14 < 2.2e-16 ***
as.factor(id)94 2.0573e+00 7.7041e-15 2.6704e+14 < 2.2e-16 ***
as.factor(id)95 -8.2927e-01 3.4927e-15 -2.3743e+14 < 2.2e-16 ***
as.factor(id)96 -1.7652e+00 3.4089e-15 -5.1783e+14 < 2.2e-16 ***
as.factor(id)97 5.4329e-01 7.8139e-15 6.9529e+13 < 2.2e-16 ***
as.factor(id)98 -6.2825e-01 3.4102e-15 -1.8423e+14 < 2.2e-16 ***
as.factor(id)99 1.4549e-01 7.7314e-15 1.8818e+13 < 2.2e-16 ***
as.factor(id)100 -1.9644e+00 3.4094e-15 -5.7617e+14 < 2.2e-16 ***
as.factor(id)101 -1.4439e+00 3.4155e-15 -4.2275e+14 < 2.2e-16 ***
as.factor(id)102 9.4493e-01 7.9612e-15 1.1869e+14 < 2.2e-16 ***
as.factor(id)103 -9.5332e-01 8.5457e-15 -1.1156e+14 < 2.2e-16 ***
as.factor(id)104 -2.8469e+00 3.4102e-15 -8.3480e+14 < 2.2e-16 ***
as.factor(id)105 -8.5561e-01 3.4252e-15 -2.4980e+14 < 2.2e-16 ***
as.factor(id)106 1.9260e+00 7.6860e-15 2.5059e+14 < 2.2e-16 ***
as.factor(id)107 -2.7977e+00 3.4110e-15 -8.2020e+14 < 2.2e-16 ***
as.factor(id)108 3.6310e-01 7.6881e-15 4.7228e+13 < 2.2e-16 ***
as.factor(id)109 5.0989e-01 7.6845e-15 6.6353e+13 < 2.2e-16 ***
as.factor(id)110 7.1119e-01 7.8296e-15 9.0834e+13 < 2.2e-16 ***
as.factor(id)111 1.8149e-01 3.4127e-15 5.3182e+13 < 2.2e-16 ***
as.factor(id)112 -5.5096e-01 7.8197e-15 -7.0458e+13 < 2.2e-16 ***
as.factor(id)113 -3.5499e-01 3.4721e-15 -1.0224e+14 < 2.2e-16 ***
as.factor(id)114 -2.7016e+00 3.4195e-15 -7.9005e+14 < 2.2e-16 ***
as.factor(id)115 -5.1846e-01 3.4094e-15 -1.5207e+14 < 2.2e-16 ***
as.factor(id)116 2.8604e+00 7.8619e-15 3.6384e+14 < 2.2e-16 ***
as.factor(id)117 -2.2448e+00 3.4188e-15 -6.5660e+14 < 2.2e-16 ***
as.factor(id)118 -5.4896e-01 7.6842e-15 -7.1440e+13 < 2.2e-16 ***
as.factor(id)119 -1.6197e+00 3.4846e-15 -4.6482e+14 < 2.2e-16 ***
as.factor(id)120 6.5747e-01 7.6981e-15 8.5407e+13 < 2.2e-16 ***
as.factor(id)121 1.6361e+00 8.4237e-15 1.9423e+14 < 2.2e-16 ***
as.factor(id)122 -8.9273e-01 7.7347e-15 -1.1542e+14 < 2.2e-16 ***
as.factor(id)123 -7.8820e-01 3.4550e-15 -2.2813e+14 < 2.2e-16 ***
as.factor(id)124 8.0306e-01 9.0469e-15 8.8766e+13 < 2.2e-16 ***
as.factor(id)125 -8.5095e-01 3.4165e-15 -2.4907e+14 < 2.2e-16 ***
as.factor(id)126 6.8853e-01 7.6964e-15 8.9461e+13 < 2.2e-16 ***
as.factor(id)127 1.9073e+00 7.6909e-15 2.4800e+14 < 2.2e-16 ***
as.factor(id)128 1.5319e+00 7.6856e-15 1.9931e+14 < 2.2e-16 ***
as.factor(id)129 2.1084e-01 3.4090e-15 6.1849e+13 < 2.2e-16 ***
as.factor(id)130 2.1723e-01 7.7314e-15 2.8097e+13 < 2.2e-16 ***
as.factor(id)131 -1.0481e+00 3.4117e-15 -3.0722e+14 < 2.2e-16 ***
as.factor(id)132 1.3678e+00 7.7435e-15 1.7664e+14 < 2.2e-16 ***
as.factor(id)133 -3.2907e+00 3.4110e-15 -9.6473e+14 < 2.2e-16 ***
as.factor(id)134 -2.5417e+00 3.4110e-15 -7.4516e+14 < 2.2e-16 ***
as.factor(id)135 2.0977e+00 7.6911e-15 2.7274e+14 < 2.2e-16 ***
as.factor(id)136 -1.6401e+00 3.4115e-15 -4.8075e+14 < 2.2e-16 ***
as.factor(id)137 7.6785e-01 7.6840e-15 9.9929e+13 < 2.2e-16 ***
as.factor(id)138 1.7909e+00 3.4175e-15 5.2405e+14 < 2.2e-16 ***
as.factor(id)139 -1.5147e+00 3.4145e-15 -4.4360e+14 < 2.2e-16 ***
as.factor(id)140 -3.8739e-01 7.8741e-15 -4.9198e+13 < 2.2e-16 ***
as.factor(id)141 -2.5362e-01 3.4116e-15 -7.4341e+13 < 2.2e-16 ***
as.factor(id)142 6.1801e-01 7.7435e-15 7.9809e+13 < 2.2e-16 ***
as.factor(id)143 -3.6933e+00 3.4088e-15 -1.0835e+15 < 2.2e-16 ***
as.factor(id)144 -2.1538e+00 3.4100e-15 -6.3162e+14 < 2.2e-16 ***
as.factor(id)145 1.7802e+00 7.7630e-15 2.2932e+14 < 2.2e-16 ***
as.factor(id)146 3.3746e+00 7.7072e-15 4.3785e+14 < 2.2e-16 ***
as.factor(id)147 8.5313e-01 3.4175e-15 2.4963e+14 < 2.2e-16 ***
as.factor(id)148 -1.4505e+00 3.4088e-15 -4.2551e+14 < 2.2e-16 ***
as.factor(id)149 1.3143e+00 7.7055e-15 1.7057e+14 < 2.2e-16 ***
as.factor(id)150 9.1507e-01 7.6922e-15 1.1896e+14 < 2.2e-16 ***
as.factor(id)151 -9.2890e-01 3.4152e-15 -2.7199e+14 < 2.2e-16 ***
as.factor(id)152 -3.1150e-01 3.4862e-15 -8.9352e+13 < 2.2e-16 ***
as.factor(id)153 1.4099e+00 7.8568e-15 1.7944e+14 < 2.2e-16 ***
as.factor(id)154 -4.1778e+00 3.5520e-15 -1.1762e+15 < 2.2e-16 ***
as.factor(id)155 9.7492e-01 7.7326e-15 1.2608e+14 < 2.2e-16 ***
as.factor(id)156 -2.1135e+00 3.4159e-15 -6.1872e+14 < 2.2e-16 ***
as.factor(id)157 1.6592e+00 7.7115e-15 2.1516e+14 < 2.2e-16 ***
as.factor(id)158 9.5909e-01 7.6858e-15 1.2479e+14 < 2.2e-16 ***
as.factor(id)159 -1.6996e+00 3.4126e-15 -4.9803e+14 < 2.2e-16 ***
as.factor(id)162 -1.7118e+00 3.4110e-15 -5.0186e+14 < 2.2e-16 ***
as.factor(id)163 3.5621e-01 7.6821e-15 4.6368e+13 < 2.2e-16 ***
as.factor(id)164 1.2087e+00 7.7104e-15 1.5677e+14 < 2.2e-16 ***
as.factor(id)165 -1.4602e+00 3.4267e-15 -4.2612e+14 < 2.2e-16 ***
as.factor(id)166 -3.1003e+00 3.4134e-15 -9.0826e+14 < 2.2e-16 ***
as.factor(id)167 -2.3073e-01 1.1249e-14 -2.0511e+13 < 2.2e-16 ***
as.factor(id)168 1.8358e-01 7.6884e-15 2.3877e+13 < 2.2e-16 ***
as.factor(id)169 -2.0666e+00 3.4131e-15 -6.0549e+14 < 2.2e-16 ***
as.factor(id)171 -1.6174e-02 3.4116e-15 -4.7408e+12 < 2.2e-16 ***
as.factor(id)172 1.8550e+00 8.0854e-15 2.2942e+14 < 2.2e-16 ***
as.factor(id)174 -1.0295e-02 3.4206e-15 -3.0098e+12 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1coeftest(value_model_log, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 9.565327 0.299814 31.9042 < 2.2e-16 ***
treatment -0.726246 0.464469 -1.5636 0.1185309
as.factor(id)73 1.593164 0.464469 3.4301 0.0006523 ***
as.factor(id)74 1.786059 0.480326 3.7184 0.0002227 ***
as.factor(id)77 0.389079 0.424001 0.9176 0.3592421
as.factor(id)78 0.899962 0.501684 1.7939 0.0734244 .
as.factor(id)79 0.307710 0.424001 0.7257 0.4683374
as.factor(id)80 -0.409737 0.441314 -0.9284 0.3536140
as.factor(id)81 0.139090 0.464469 0.2995 0.7647109
as.factor(id)82 2.357713 0.452212 5.2137 2.694e-07 ***
as.factor(id)83 -1.488020 0.410537 -3.6246 0.0003185 ***
as.factor(id)84 -2.244833 0.464469 -4.8331 1.781e-06 ***
as.factor(id)85 -1.450050 0.424001 -3.4199 0.0006766 ***
as.factor(id)86 -0.651543 0.441314 -1.4764 0.1404616
as.factor(id)87 2.649914 0.480326 5.5169 5.495e-08 ***
as.factor(id)88 2.396996 0.464469 5.1607 3.530e-07 ***
as.factor(id)89 1.395122 0.464469 3.0037 0.0027983 **
as.factor(id)90 -1.102257 0.399752 -2.7574 0.0060361 **
as.factor(id)91 -2.346958 0.410537 -5.7168 1.849e-08 ***
as.factor(id)92 0.819706 0.452212 1.8127 0.0704723 .
as.factor(id)93 -1.276211 0.410537 -3.1086 0.0019845 **
as.factor(id)94 2.057260 0.452212 4.5493 6.733e-06 ***
as.factor(id)95 -0.829267 0.497185 -1.6679 0.0959446 .
as.factor(id)96 -1.765213 0.410537 -4.2998 2.049e-05 ***
as.factor(id)97 0.543290 0.452212 1.2014 0.2301516
as.factor(id)98 -0.628254 0.424001 -1.4817 0.1390303
as.factor(id)99 0.145491 0.480326 0.3029 0.7620888
as.factor(id)100 -1.964425 0.441314 -4.4513 1.049e-05 ***
as.factor(id)101 -1.443887 0.464469 -3.1087 0.0019842 **
as.factor(id)102 0.944929 0.480326 1.9673 0.0496941 *
as.factor(id)103 -0.953320 0.532117 -1.7916 0.0737960 .
as.factor(id)104 -2.846857 0.464469 -6.1293 1.769e-09 ***
as.factor(id)105 -0.855607 0.497185 -1.7209 0.0858750 .
as.factor(id)106 1.926033 0.452212 4.2591 2.444e-05 ***
as.factor(id)107 -2.797690 0.424001 -6.5983 1.044e-10 ***
as.factor(id)108 0.363095 0.501684 0.7238 0.4695497
as.factor(id)109 0.509889 0.501684 1.0164 0.3099426
as.factor(id)110 0.711195 0.464469 1.5312 0.1263405
as.factor(id)111 0.181493 0.441314 0.4113 0.6810582
as.factor(id)112 -0.550960 0.452212 -1.2184 0.2236479
as.factor(id)113 -0.354987 0.848001 -0.4186 0.6756733
as.factor(id)114 -2.701599 0.410537 -6.5806 1.164e-10 ***
as.factor(id)115 -0.518458 0.441314 -1.1748 0.2406206
as.factor(id)116 2.860443 0.532117 5.3756 1.164e-07 ***
as.factor(id)117 -2.244780 0.547383 -4.1009 4.788e-05 ***
as.factor(id)118 -0.548955 0.452212 -1.2139 0.2253350
as.factor(id)119 -1.619733 0.547383 -2.9591 0.0032293 **
as.factor(id)120 0.657471 0.452212 1.4539 0.1465894
as.factor(id)121 1.636132 0.442444 3.6979 0.0002409 ***
as.factor(id)122 -0.892734 0.501684 -1.7795 0.0757576 .
as.factor(id)123 -0.788204 0.410537 -1.9199 0.0554237 .
as.factor(id)124 0.803065 0.532117 1.5092 0.1318696
as.factor(id)125 -0.850946 0.441314 -1.9282 0.0543839 .
as.factor(id)126 0.688528 0.452212 1.5226 0.1284840
as.factor(id)127 1.907301 0.434471 4.3899 1.379e-05 ***
as.factor(id)128 1.531853 0.464469 3.2981 0.0010415 **
as.factor(id)129 0.210844 0.424001 0.4973 0.6192114
as.factor(id)130 0.217227 0.442444 0.4910 0.6236586
as.factor(id)131 -1.048134 0.441314 -2.3750 0.0179163 *
as.factor(id)132 1.367798 0.480326 2.8476 0.0045821 **
as.factor(id)133 -3.290698 0.464469 -7.0849 4.650e-12 ***
as.factor(id)134 -2.541725 0.424001 -5.9946 3.862e-09 ***
as.factor(id)135 2.097683 0.464469 4.5163 7.825e-06 ***
as.factor(id)136 -1.640052 0.464469 -3.5310 0.0004515 ***
as.factor(id)137 0.767851 0.480326 1.5986 0.1105283
as.factor(id)138 1.790931 0.547383 3.2718 0.0011410 **
as.factor(id)139 -1.514657 0.497185 -3.0465 0.0024354 **
as.factor(id)140 -0.387388 0.501684 -0.7722 0.4403680
as.factor(id)141 -0.253620 0.497185 -0.5101 0.6101931
as.factor(id)142 0.618005 0.464469 1.3306 0.1839278
as.factor(id)143 -3.693340 0.441314 -8.3690 5.620e-16 ***
as.factor(id)144 -2.153846 0.497185 -4.3321 1.779e-05 ***
as.factor(id)145 1.780212 0.464469 3.8328 0.0001425 ***
as.factor(id)146 3.374598 0.464469 7.2655 1.402e-12 ***
as.factor(id)147 0.853127 0.547383 1.5586 0.1197215
as.factor(id)148 -1.450493 0.497185 -2.9174 0.0036851 **
as.factor(id)149 1.314301 0.452212 2.9064 0.0038154 **
as.factor(id)150 0.915069 0.464469 1.9701 0.0493632 *
as.factor(id)151 -0.928899 0.424001 -2.1908 0.0289184 *
as.factor(id)152 -0.311498 0.497185 -0.6265 0.5312515
as.factor(id)153 1.409851 0.501684 2.8102 0.0051408 **
as.factor(id)154 -4.177752 0.464469 -8.9947 < 2.2e-16 ***
as.factor(id)155 0.974924 0.452212 2.1559 0.0315586 *
as.factor(id)156 -2.113477 0.464469 -4.5503 6.703e-06 ***
as.factor(id)157 1.659233 0.442444 3.7502 0.0001970 ***
as.factor(id)158 0.959092 0.501684 1.9117 0.0564691 .
as.factor(id)159 -1.699553 0.464469 -3.6591 0.0002794 ***
as.factor(id)162 -1.711847 0.424001 -4.0374 6.236e-05 ***
as.factor(id)163 0.356208 0.464469 0.7669 0.4434876
as.factor(id)164 1.208744 0.464469 2.6024 0.0095262 **
as.factor(id)165 -1.460208 0.410537 -3.5568 0.0004104 ***
as.factor(id)166 -3.100306 0.441314 -7.0252 6.874e-12 ***
as.factor(id)167 -0.230727 0.532117 -0.4336 0.6647609
as.factor(id)168 0.183576 0.464469 0.3952 0.6928330
as.factor(id)169 -2.066590 0.464469 -4.4494 1.058e-05 ***
as.factor(id)171 -0.016174 0.410537 -0.0394 0.9685896
as.factor(id)172 1.854962 0.464469 3.9937 7.461e-05 ***
as.factor(id)173 NA NA NA NA
as.factor(id)174 -0.010295 0.547383 -0.0188 0.9850013
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model_log, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_log_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-0.726</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>1.593<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>1.786<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>0.389</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>0.900<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>0.308</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-0.410</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>0.139</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>2.358<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>-1.488<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-2.245<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-1.450<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-0.652</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>2.650<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>2.397<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>1.395<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>-1.102<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.400)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>-2.347<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>0.820<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>-1.276<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>2.057<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-0.829<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>-1.765<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>0.543</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-0.628</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>0.145</td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-1.964<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-1.444<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>0.945<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-0.953<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-2.847<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-0.856<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>1.926<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-2.798<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>0.363</td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>0.510</td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>0.711</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>0.181</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>-0.551</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-0.355</td></tr>
<tr><td style="text-align:left"></td><td>(0.848)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>-2.702<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-0.518</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>2.860<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-2.245<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>-0.549</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-1.620<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>0.657</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>1.636<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.442)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-0.893<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>-0.788<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>0.803</td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-0.851<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>0.689</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>1.907<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.434)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>1.532<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>0.211</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>0.217</td></tr>
<tr><td style="text-align:left"></td><td>(0.442)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-1.048<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>1.368<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-3.291<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-2.542<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>2.098<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-1.640<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.768</td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>1.791<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-1.515<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-0.387</td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-0.254</td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>0.618</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-3.693<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-2.154<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>1.780<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>3.375<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>0.853</td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-1.450<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>1.314<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>0.915<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.929<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-0.311</td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>1.410<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-4.178<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>0.975<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-2.113<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>1.659<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.442)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>0.959<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-1.700<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-1.712<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>0.356</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>1.209<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>-1.460<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-3.100<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-0.231</td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>0.184</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-2.067<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>-0.016</td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>1.855<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-0.010</td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>9.565<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.300)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.771</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.727</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.793 (df = 510)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>17.702<sup>***</sup> (df = 97; 510)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>value_model_no_cluster = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]
coeftest(value_model_no_cluster)
summary(value_model_no_cluster)
stargazer::stargazer(value_model_no_cluster, header = T, type='html',out='value_model_no_cluster_table.html')
plot(value_model_no_cluster)
value_model_no_id = df[, lm(log(white_value_diff) ~ treatment)]NaNs producedcoeftest(value_model_no_id)
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.228995 0.074997 109.724 < 2.2e-16 ***
treatment 1.678083 0.103055 16.283 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model_no_id, header = T, type='html',out='value_model_no_id_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>1.678<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.103)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>8.229<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.075)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.304</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.303</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>1.268 (df = 606)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>265.149<sup>***</sup> (df = 1; 606)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>value_model_cluster_no_id = df[, lm(log(white_value_diff) ~ treatment)]NaNs producedcoeftest(value_model_cluster_no_id, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.228995 0.074997 109.724 < 2.2e-16 ***
treatment 1.678083 0.103055 16.283 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model_cluster_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_cluster_no_id_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>1.678<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.103)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>8.229<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.075)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.304</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.303</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>1.268 (df = 606)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>265.149<sup>***</sup> (df = 1; 606)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>value_model_demo = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job) + as.factor(id))]NaNs producedcoeftest(value_model_demo)
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 7.389465 1.948153 3.7931 0.0001666 ***
treatment 0.378470 0.472421 0.8011 0.4234300
as.factor(demographic_race)East Asian 7.105407 1.102411 6.4453 2.676e-10 ***
as.factor(demographic_race)Multiracial 6.331452 1.309651 4.8345 1.770e-06 ***
as.factor(demographic_race)White 6.759504 0.946538 7.1413 3.205e-12 ***
as.factor(ethnicity)Yes -4.200343 0.905808 -4.6371 4.495e-06 ***
as.factor(gender)Male -0.142927 0.451868 -0.3163 0.7519023
age -0.124764 0.030057 -4.1509 3.880e-05 ***
as.factor(education)Bachelor's -0.652919 0.924180 -0.7065 0.4802095
as.factor(education)High school -0.691941 1.052839 -0.6572 0.5113391
as.factor(education)Master's / MBA -2.950396 1.788804 -1.6494 0.0996880 .
as.factor(education)Ph.D -0.937131 1.289317 -0.7268 0.4676557
as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city. -2.341918 0.870270 -2.6910 0.0073571 **
as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area. 0.146225 0.622168 0.2350 0.8142842
as.factor(ownership)I currently own property. 2.904370 0.992402 2.9266 0.0035797 **
as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own. 0.912705 0.929357 0.9821 0.3265253
as.factor(ownership)I currently rent from a property owner or management company -0.696356 0.465441 -1.4961 0.1352410
as.factor(ownership)I have owned property in the past that I do not currently own. 0.774807 1.164177 0.6655 0.5060055
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs 3.856426 2.241160 1.7207 0.0859068 .
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company 2.850649 1.066109 2.6739 0.0077384 **
as.factor(RE_job)I have never studied or worked in this field. 0.630030 0.708194 0.8896 0.3740851
as.factor(RE_job)I have previously worked in this field. -3.925595 0.944858 -4.1547 3.819e-05 ***
as.factor(RE_job)Other (please explain): 2.058160 1.295929 1.5882 0.1128669
as.factor(id)73 -2.859452 0.889092 -3.2161 0.0013817 **
as.factor(id)74 4.791421 1.129361 4.2426 2.625e-05 ***
as.factor(id)77 1.665112 0.718122 2.3187 0.0208056 *
as.factor(id)78 -0.048835 0.742506 -0.0658 0.9475867
as.factor(id)79 6.585214 2.022063 3.2567 0.0012022 **
as.factor(id)80 0.536069 1.182943 0.4532 0.6506221
as.factor(id)81 6.518259 1.733832 3.7595 0.0001900 ***
as.factor(id)82 2.357713 0.452212 5.2137 2.694e-07 ***
as.factor(id)83 4.420478 1.858993 2.3779 0.0177796 *
as.factor(id)84 -4.722680 0.860663 -5.4873 6.441e-08 ***
as.factor(id)85 5.683747 0.988044 5.7525 1.517e-08 ***
as.factor(id)86 -1.244209 0.812465 -1.5314 0.1262907
as.factor(id)87 0.058322 0.900191 0.0648 0.9483682
as.factor(id)88 -0.312217 0.810961 -0.3850 0.7004002
as.factor(id)89 -0.120852 0.784706 -0.1540 0.8776637
as.factor(id)90 0.501517 0.716735 0.6997 0.4844187
as.factor(id)91 1.014534 0.964438 1.0519 0.2933234
as.factor(id)92 -2.318204 1.124219 -2.0621 0.0397084 *
as.factor(id)93 1.835754 0.924258 1.9862 0.0475469 *
as.factor(id)94 1.202073 0.590036 2.0373 0.0421372 *
as.factor(id)95 2.446484 1.125013 2.1746 0.0301169 *
as.factor(id)96 3.987662 1.731956 2.3024 0.0217142 *
as.factor(id)97 1.450977 0.649470 2.2341 0.0259095 *
as.factor(id)98 2.916866 1.185529 2.4604 0.0142090 *
as.factor(id)99 5.585485 1.469687 3.8005 0.0001619 ***
as.factor(id)100 -5.697552 1.728676 -3.2959 0.0010493 **
as.factor(id)101 -2.574633 0.705041 -3.6517 0.0002874 ***
as.factor(id)102 -1.022842 0.815574 -1.2541 0.2103665
as.factor(id)103 -2.087133 1.270884 -1.6423 0.1011508
as.factor(id)104 0.966433 0.654795 1.4759 0.1405792
as.factor(id)105 2.006829 0.929648 2.1587 0.0313395 *
as.factor(id)106 0.438663 0.946321 0.4635 0.6431708
as.factor(id)107 -2.509139 0.578111 -4.3402 1.717e-05 ***
as.factor(id)108 1.180722 1.625451 0.7264 0.4679290
as.factor(id)109 2.273857 0.920548 2.4701 0.0138332 *
as.factor(id)110 1.804976 0.663794 2.7192 0.0067674 **
as.factor(id)111 6.064146 1.691223 3.5857 0.0003686 ***
as.factor(id)112 0.379575 0.640211 0.5929 0.5535169
as.factor(id)113 -3.796351 1.590541 -2.3868 0.0173579 *
as.factor(id)114 NA NA NA NA
as.factor(id)115 0.126224 0.718218 0.1757 0.8605637
as.factor(id)116 3.398908 0.896548 3.7911 0.0001679 ***
as.factor(id)117 -5.346449 1.010849 -5.2891 1.828e-07 ***
as.factor(id)118 7.218958 1.447885 4.9859 8.468e-07 ***
as.factor(id)119 -2.040868 0.883160 -2.3109 0.0212380 *
as.factor(id)120 -0.062657 0.695765 -0.0901 0.9282787
as.factor(id)121 NA NA NA NA
as.factor(id)122 3.648823 1.465492 2.4898 0.0130979 *
as.factor(id)123 0.365831 0.966857 0.3784 0.7053124
as.factor(id)124 NA NA NA NA
as.factor(id)125 -1.856927 0.689290 -2.6940 0.0072933 **
as.factor(id)126 -0.759325 0.698078 -1.0877 0.2772248
as.factor(id)127 10.281596 1.688619 6.0888 2.240e-09 ***
as.factor(id)128 1.292619 0.693869 1.8629 0.0630489 .
as.factor(id)129 NA NA NA NA
as.factor(id)130 -1.665896 1.058004 -1.5746 0.1159771
as.factor(id)131 -0.556944 0.777298 -0.7165 0.4740032
as.factor(id)132 0.302104 0.680909 0.4437 0.6574637
as.factor(id)133 -0.286059 0.925175 -0.3092 0.7573001
as.factor(id)134 -1.733379 0.939569 -1.8449 0.0656367 .
as.factor(id)135 4.749766 1.514493 3.1362 0.0018103 **
as.factor(id)136 NA NA NA NA
as.factor(id)137 0.932238 0.848831 1.0983 0.2726088
as.factor(id)138 4.472996 1.264110 3.5385 0.0004393 ***
as.factor(id)139 -3.347822 0.920246 -3.6380 0.0003028 ***
as.factor(id)140 3.288609 1.089805 3.0176 0.0026751 **
as.factor(id)141 3.460212 0.768701 4.5014 8.373e-06 ***
as.factor(id)142 -3.357013 0.885075 -3.7929 0.0001667 ***
as.factor(id)143 1.165325 1.250381 0.9320 0.3517898
as.factor(id)144 NA NA NA NA
as.factor(id)145 NA NA NA NA
as.factor(id)146 7.292333 1.347120 5.4133 9.542e-08 ***
as.factor(id)147 5.002228 1.285512 3.8912 0.0001130 ***
as.factor(id)148 7.430004 1.204572 6.1682 1.408e-09 ***
as.factor(id)149 NA NA NA NA
as.factor(id)150 2.001706 0.654175 3.0599 0.0023307 **
as.factor(id)151 -0.294782 0.567638 -0.5193 0.6037681
as.factor(id)152 -3.266942 0.950065 -3.4387 0.0006325 ***
as.factor(id)153 NA NA NA NA
as.factor(id)154 NA NA NA NA
as.factor(id)155 2.732643 0.975903 2.8001 0.0053022 **
as.factor(id)156 -0.078225 0.733187 -0.1067 0.9150750
as.factor(id)157 1.087911 0.905342 1.2017 0.2300539
as.factor(id)158 NA NA NA NA
as.factor(id)159 -4.530233 0.909951 -4.9785 8.779e-07 ***
as.factor(id)162 NA NA NA NA
as.factor(id)163 -3.875976 1.488841 -2.6034 0.0095006 **
as.factor(id)164 NA NA NA NA
as.factor(id)165 NA NA NA NA
as.factor(id)166 NA NA NA NA
as.factor(id)167 NA NA NA NA
as.factor(id)168 NA NA NA NA
as.factor(id)169 NA NA NA NA
as.factor(id)171 NA NA NA NA
as.factor(id)172 NA NA NA NA
as.factor(id)173 NA NA NA NA
as.factor(id)174 NA NA NA NA
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model_demo, header = T, type='html',out='value_model_demo_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>0.378</td></tr>
<tr><td style="text-align:left"></td><td>(0.472)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)East Asian</td><td>7.105<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.102)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)Multiracial</td><td>6.331<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.310)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)White</td><td>6.760<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.947)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ethnicity)Yes</td><td>-4.200<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.906)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(gender)Male</td><td>-0.143</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">age</td><td>-0.125<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.030)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Bachelor's</td><td>-0.653</td></tr>
<tr><td style="text-align:left"></td><td>(0.924)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)High school</td><td>-0.692</td></tr>
<tr><td style="text-align:left"></td><td>(1.053)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Master's / MBA</td><td>-2.950<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.789)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Ph.D</td><td>-0.937</td></tr>
<tr><td style="text-align:left"></td><td>(1.289)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city.</td><td>-2.342<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.870)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area.</td><td>0.146</td></tr>
<tr><td style="text-align:left"></td><td>(0.622)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.</td><td>2.904<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.992)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own.</td><td>0.913</td></tr>
<tr><td style="text-align:left"></td><td>(0.929)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently rent from a property owner or management company</td><td>-0.696</td></tr>
<tr><td style="text-align:left"></td><td>(0.465)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.</td><td>0.775</td></tr>
<tr><td style="text-align:left"></td><td>(1.164)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs</td><td>3.856<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(2.241)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company</td><td>2.851<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.066)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have never studied or worked in this field.</td><td>0.630</td></tr>
<tr><td style="text-align:left"></td><td>(0.708)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have previously worked in this field.</td><td>-3.926<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.945)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)Other (please explain):</td><td>2.058</td></tr>
<tr><td style="text-align:left"></td><td>(1.296)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>-2.859<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.889)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>4.791<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.129)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>1.665<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.718)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>-0.049</td></tr>
<tr><td style="text-align:left"></td><td>(0.743)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>6.585<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(2.022)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>0.536</td></tr>
<tr><td style="text-align:left"></td><td>(1.183)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>6.518<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.734)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>2.358<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>4.420<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.859)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-4.723<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.861)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>5.684<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.988)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-1.244</td></tr>
<tr><td style="text-align:left"></td><td>(0.812)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>0.058</td></tr>
<tr><td style="text-align:left"></td><td>(0.900)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>-0.312</td></tr>
<tr><td style="text-align:left"></td><td>(0.811)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>-0.121</td></tr>
<tr><td style="text-align:left"></td><td>(0.785)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>0.502</td></tr>
<tr><td style="text-align:left"></td><td>(0.717)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>1.015</td></tr>
<tr><td style="text-align:left"></td><td>(0.964)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>-2.318<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.124)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>1.836<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.924)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>1.202<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.590)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>2.446<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.125)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>3.988<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.732)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>1.451<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.649)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>2.917<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.186)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>5.585<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.470)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-5.698<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.729)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-2.575<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.705)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>-1.023</td></tr>
<tr><td style="text-align:left"></td><td>(0.816)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-2.087</td></tr>
<tr><td style="text-align:left"></td><td>(1.271)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>0.966</td></tr>
<tr><td style="text-align:left"></td><td>(0.655)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>2.007<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.930)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>0.439</td></tr>
<tr><td style="text-align:left"></td><td>(0.946)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-2.509<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.578)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>1.181</td></tr>
<tr><td style="text-align:left"></td><td>(1.625)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>2.274<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.921)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>1.805<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.664)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>6.064<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.691)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>0.380</td></tr>
<tr><td style="text-align:left"></td><td>(0.640)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-3.796<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.591)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>0.126</td></tr>
<tr><td style="text-align:left"></td><td>(0.718)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>3.399<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.897)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-5.346<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.011)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>7.219<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.448)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-2.041<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.883)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>-0.063</td></tr>
<tr><td style="text-align:left"></td><td>(0.696)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>3.649<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.465)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>0.366</td></tr>
<tr><td style="text-align:left"></td><td>(0.967)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-1.857<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.689)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>-0.759</td></tr>
<tr><td style="text-align:left"></td><td>(0.698)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>10.282<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.689)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>1.293<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.694)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>-1.666</td></tr>
<tr><td style="text-align:left"></td><td>(1.058)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-0.557</td></tr>
<tr><td style="text-align:left"></td><td>(0.777)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>0.302</td></tr>
<tr><td style="text-align:left"></td><td>(0.681)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-0.286</td></tr>
<tr><td style="text-align:left"></td><td>(0.925)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-1.733<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.940)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>4.750<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.514)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.932</td></tr>
<tr><td style="text-align:left"></td><td>(0.849)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>4.473<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.264)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-3.348<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.920)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>3.289<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.090)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>3.460<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.769)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>-3.357<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.885)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>1.165</td></tr>
<tr><td style="text-align:left"></td><td>(1.250)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>7.292<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.347)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>5.002<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.286)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>7.430<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.205)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>2.002<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.654)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.295</td></tr>
<tr><td style="text-align:left"></td><td>(0.568)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-3.267<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.950)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>2.733<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.976)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-0.078</td></tr>
<tr><td style="text-align:left"></td><td>(0.733)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>1.088</td></tr>
<tr><td style="text-align:left"></td><td>(0.905)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-4.530<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.910)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>-3.876<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.489)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>7.389<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.948)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.771</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.727</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.793 (df = 510)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>17.702<sup>***</sup> (df = 97; 510)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>value_model_demo_no_id = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job))]NaNs producedcoeftest(value_model_demo_no_id)
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 9.5113165 0.7169128 13.2670 < 2.2e-16 ***
treatment 1.8141516 0.1037557 17.4848 < 2.2e-16 ***
as.factor(demographic_race)East Asian 2.2057779 0.2950225 7.4766 2.801e-13 ***
as.factor(demographic_race)Multiracial -0.1699290 0.6790638 -0.2502 0.802489
as.factor(demographic_race)White 0.4584475 0.1778102 2.5783 0.010172 *
as.factor(ethnicity)Yes -0.5290739 0.3573531 -1.4805 0.139269
as.factor(gender)Male -0.2311263 0.1092824 -2.1149 0.034857 *
age -0.0253457 0.0054622 -4.6402 4.300e-06 ***
as.factor(education)Bachelor's 0.3197260 0.1442797 2.2160 0.027075 *
as.factor(education)High school 0.1265157 0.1584708 0.7984 0.424990
as.factor(education)Master's / MBA 1.2490610 0.2274182 5.4924 5.922e-08 ***
as.factor(education)Ph.D 0.6677997 0.6018884 1.1095 0.267667
as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city. -0.2010869 0.1461657 -1.3757 0.169427
as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area. -0.3509715 0.1620870 -2.1653 0.030766 *
as.factor(ownership)I currently own property. -0.5776259 0.4684113 -1.2332 0.218012
as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own. -0.0631392 0.5312194 -0.1189 0.905429
as.factor(ownership)I currently rent from a property owner or management company -0.5069789 0.4613283 -1.0990 0.272240
as.factor(ownership)I have owned property in the past that I do not currently own. -0.8602396 0.7157021 -1.2020 0.229868
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs -1.9199428 0.6640067 -2.8915 0.003977 **
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company -1.8513051 0.6507071 -2.8451 0.004596 **
as.factor(RE_job)I have never studied or worked in this field. -0.1291057 0.4251631 -0.3037 0.761494
as.factor(RE_job)I have previously worked in this field. -1.0918036 0.4795875 -2.2765 0.023174 *
as.factor(RE_job)Other (please explain): 0.1734575 0.5535957 0.3133 0.754143
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model_demo_no_id, header = T, type='html',out='value_model_demo_no_id_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>1.814<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.104)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)East Asian</td><td>2.206<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.295)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)Multiracial</td><td>-0.170</td></tr>
<tr><td style="text-align:left"></td><td>(0.679)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)White</td><td>0.458<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.178)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ethnicity)Yes</td><td>-0.529</td></tr>
<tr><td style="text-align:left"></td><td>(0.357)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(gender)Male</td><td>-0.231<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.109)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">age</td><td>-0.025<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.005)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Bachelor's</td><td>0.320<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.144)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)High school</td><td>0.127</td></tr>
<tr><td style="text-align:left"></td><td>(0.158)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Master's / MBA</td><td>1.249<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.227)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Ph.D</td><td>0.668</td></tr>
<tr><td style="text-align:left"></td><td>(0.602)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city.</td><td>-0.201</td></tr>
<tr><td style="text-align:left"></td><td>(0.146)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area.</td><td>-0.351<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.162)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.</td><td>-0.578</td></tr>
<tr><td style="text-align:left"></td><td>(0.468)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own.</td><td>-0.063</td></tr>
<tr><td style="text-align:left"></td><td>(0.531)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently rent from a property owner or management company</td><td>-0.507</td></tr>
<tr><td style="text-align:left"></td><td>(0.461)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.</td><td>-0.860</td></tr>
<tr><td style="text-align:left"></td><td>(0.716)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs</td><td>-1.920<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.664)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company</td><td>-1.851<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.651)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have never studied or worked in this field.</td><td>-0.129</td></tr>
<tr><td style="text-align:left"></td><td>(0.425)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have previously worked in this field.</td><td>-1.092<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)Other (please explain):</td><td>0.173</td></tr>
<tr><td style="text-align:left"></td><td>(0.554)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>9.511<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.717)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.458</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.437</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>1.140 (df = 585)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>22.447<sup>***</sup> (df = 22; 585)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>---
title: "R Notebook"
output:
  html_document:
    df_print: paged
---

```{r load packages, message = FALSE}
library(data.table)

library(sandwich)
library(lmtest)

library(AER) 
library(dplyr)


library(ggplot2) 
library(patchwork)
```

```{r load draft data}
#Read in the data
d <- fread('joined_results_2nd_run.tsv')


head(d)
names(d)
```



```{r}
#Filter to where user input property == potential response Property
d_filtered = d
d_filtered
```



```{r}
#For every row, create a column that is the value difference of white to non white
#i.e. If race==white of response, abs_value_diff, else use -abs_value_diff

#Using data.table fifelse
d_filtered[abs_value_diff==0,abs_value_diff := 0.5]
d_filtered[ , white_value_diff := fifelse(nb_race=="white", abs_value_diff, -abs_value_diff)]

d_filtered[ ,log_abs_diff := log(abs_value_diff)]
d_filtered[, log_white_diff := fifelse(nb_race=="white", log_abs_diff, -log_abs_diff)]


#Create a column with 0/1 if neighborhood is white
d_filtered[ , nb_is_white := fifelse(nb_race=="white", 1, 0)]

```

```{r}
d_filtered
```

```{r}
#Create a variable for whether street view contained a person

d_filtered[ , street_view_person := rep(0, .N)]

#Change Property 1 & 3s to 1
d_filtered[ (property_chosen == "Property 1") & (question == "3s") , street_view_person := 1] 

#Change both Properties of 10s to 1
d_filtered[  (question == "10s") , street_view_person := 1] 

#Change property 2 of 11s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "11s") , street_view_person := 1] 

#Change property 1 of 13s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "13s") , street_view_person := 1] 

#Change property 2 of 14s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "14s") , street_view_person := 1] 

#Change property 1&2 of 18s to 1
d_filtered[  (question == "18s") , street_view_person := 1] 

#Change property 1 of 20s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "20s") , street_view_person := 1] 

#Change property 1 of 25s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "25s") , street_view_person := 1] 


d_filtered
```


```{r}
ggplot(data =d_filtered[ treatment==0, ], aes(d_filtered[ treatment==0, white_value_diff])) + geom_histogram()
```



```{r}
ggplot(data =d_filtered[ treatment==1, ], aes(d_filtered[ treatment==1, white_value_diff])) + geom_histogram()
```

```{r}
fwrite(d_filtered, "filtered_data_2.csv")
```

```{r}
df = data.table::fread("filtered_data_2.csv")
df
names(df)
```

```{r}
typeof(df)
#Some attempts at writing a model


#For each question, we want the difference in counts of properties selected by is_white
new_df = df[ , .(count=.N), keyby=.(question, nb_is_white, treatment) ]
new_df


#We want to predict the difference of the counts of the is_white or not properties for each question
new_df[ , is_white_count:= diff(count, lag=1), keyby = .(question, treatment)]
new_df

model = new_df[ , lm(is_white_count ~ treatment)]

coeftest(model,  vcov = vcovCL(model, cluster = new_df[ , question]))
```

## Proportion Models

```{r}
prop_white_model = df[, lm(nb_is_white ~ treatment + as.factor(id))]
coeftest(prop_white_model,  vcov = vcovCL(prop_white_model, cluster = df[ , as.factor(id)]))
stargazer::stargazer(prop_white_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model, cluster = df[ , as.factor(id)])))),out='prop_white_model_table.html')
```

```{r}
prop_white_model_no_id = df[, lm(nb_is_white ~ treatment)]
coeftest(prop_white_model_no_id,  vcov = vcovCL(prop_white_model_no_id))
stargazer::stargazer(prop_white_model_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model_no_id, cluster = df[ , as.factor(id)])))),out='prop_white_model_no_id_table.html')
```

## Value Difference models

```{r}
value_model = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model,  vcov = vcovCL(value_model, cluster = df[ , as.factor(id)]))
stargazer::stargazer(value_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model, cluster = df[ , as.factor(id)])))),out='value_model_table.html')
```

```{r}
value_model_log = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]

coeftest(value_model_log,  vcov = vcovCL(value_model_log, cluster = df[ , as.factor(id)]))
coeftest(value_model_log, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))

stargazer::stargazer(value_model_log, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_log_table.html')

```

```{r}
value_model_no_cluster = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]

coeftest(value_model_no_cluster)
summary(value_model_no_cluster)
stargazer::stargazer(value_model_no_cluster, header = T, type='html',out='value_model_no_cluster_table.html')

plot(value_model_no_cluster)

```

```{r}
value_model_no_id = df[, lm(log(white_value_diff) ~ treatment)]

coeftest(value_model_no_id)

stargazer::stargazer(value_model_no_id, header = T, type='html',out='value_model_no_id_table.html')
```

```{r}
value_model_cluster_no_id = df[, lm(log(white_value_diff) ~ treatment)]

coeftest(value_model_cluster_no_id, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))

stargazer::stargazer(value_model_cluster_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_cluster_no_id_table.html')
```

```{r}
value_model_demo = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age  + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job) + as.factor(id))]

coeftest(value_model_demo)
stargazer::stargazer(value_model_demo, header = T, type='html',out='value_model_demo_table.html')

```

```{r}
value_model_demo_no_id = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age  + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job))]

coeftest(value_model_demo_no_id)
stargazer::stargazer(value_model_demo_no_id, header = T, type='html',out='value_model_demo_no_id_table.html')
```

```{r}
df[id==167,]
```













